电测与仪表2024，Vol.61Issue(4)：155-160,6.DOI:10.19753/j.issn1001-1390.2024.04.022
电力物联网移动边缘计算任务卸载策略
Task unloading strategy of power internet of things mobile edge computing
摘要
Abstract
For the propagation delay in the cloud computing framework,it is increasingly difficult to meet the requirements of low delay and reliability of the power Internet of things.Based on the mobile edge computing framework,a cloud-edge network structure based on the power Internet of things is proposed,and models the service response delay.The optimiza-tion model is solved through the combination of constraint optimization and improved genetic algorithm,and the optimal computing unloading strategy is obtained.The effectiveness of the proposed unloading strategy of mobile edge computing is verified by simulation.The results show that the proposed strategy not only improves the reliability of service processing,but also greatly reduces the service response delay in case of failure.Compared with the delay performance of the retrans-mission only strategy,the delay performance of the strategy is improved by 6.4％.Therefore,the research provides a cer-tain reference for the development of power Internet of things in China.关键词
电力物联网/约束优化/遗传算法/移动边缘计算/卸载策略Key words
power Internet of Things/constraint optimization/genetic algorithm/mobile edge computing/unloading strategy分类
信息技术与安全科学引用本文复制引用
李宁,于晓清,陈炜,王玄,曹凯..电力物联网移动边缘计算任务卸载策略[J].电测与仪表,2024,61(4):155-160,6.基金项目
国家电网有限公司科技项目(SGITG-2018ZXCG-FF) （SGITG-2018ZXCG-FF）
